Taxonomy Of Languages Research Articles

SELF-SIMILARITY IN THE TAXONOMIC CLASSIFICATION OF HUMAN LANGUAGES

Statistical properties of the taxonomic classification of human languages are studied. It is shown that, at the highest levels of the taxonomic hierarchy, the frequency of taxon members as a function of the number of languages belonging to each member decays as a power law. This feature reveals that a self-similar structure underlies the taxonomy of languages, exactly as observed in the taxonomic classification of biological species. Such an analogy is a clue to the evolutionary foundation of language classification based on long-range comparison.

A comprehensive study of the complexity of multiparty interaction

A multiparty interaction is a set of I/O actions executed jointly by a number of processes, each of which must be ready to execute its own action for any of the actions in the set to occur. An attempt to participate in an interaction delays a process until all other participants are available. Although a relatively new concept, the multiparty interaction has found its way into a number of distributed programming languages and algebraic models of concurrency. In this paper, we present a taxonomy of languages for multiparty interaction that covers all proposals of which we are aware. Based on this taxonomy, we then present a comprehensive analysis of the computational complexity of the multiparty interaction scheduling problem, the problem of scheduling multiparty interactions in a given execution environment.

Numerical taxonomy for languages

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Statistical Measurement of Linguistic Relationship

LLinguistic relationship has been measured statistically by means of the product-moment correlation coefficient, r. The linguistic meaning of various forms of this coefficient is discussed on the basis of a simplified model. It is maintained that the most satisfactory statistic measures degree of correspondence or similarity rather than relationship in the genetic sense. When applied to Indo-European data, the statistic yields results in good agreement with common philological judgment. Problems of significance are discussed. Finally it is concluded that the statistical technique will both require and help to establish a taxonomy of languages.]